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How to Use the CurseForge MCP in Pydantic AI

Use Pydantic AI with the CurseForge repository to ensure every mod data point is type-validated and safe.

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Pydantic AI

Connect CurseForge MCP to Pydantic AI

Create your Vinkius account to connect CurseForge to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Type-safe mod lookups for Pydantic AI

Use `search_mods` to find projects, and let Pydantic AI validate the response schema. If the server returns unexpected fields, your agent raises a validation error immediately. Run `get_mod` to pull specific details into your structured models. This prevents silent failures caused by incomplete data.

Validate file integrity with this MCP Server

Execute `get_fingerprints_matches` to check your local files. The results are mapped to your Pydantic models, ensuring your agent only works with known, accurate file IDs. Call `get_mod_file` to retrieve file metadata. Your Pydantic AI agent confirms the object structure before performing any subsequent logic.

Query game data with Pydantic AI

Use `list_game_versions_v2` to get detailed version info. Your agent enforces strict typing on the returned list, ensuring compatibility across your application. Query `list_categories` to fetch game classes. The agent validates these against your internal constants, keeping your logic consistent.

Setup guide

Set up CurseForge MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Pydantic AI with FastMCP

    Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.

  2. 2

    Configure the FastMCPToolset

    Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.

  3. 3

    Create and run your agent

    Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "curseforge-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to CurseForge tools.",
)

result = await agent.run("List recent CurseForge transactions")
print(result.output)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CurseForge. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about CurseForge MCP in Pydantic AI

Every tool response is validated against your Pydantic models. If the CurseForge server returns malformed data, your agent stops to prevent logic corruption.
Yes, Pydantic AI supports SSE transports. Configure your `MCPToolset` with the server URL to start communicating with the mod repository.
The server returns an empty list, which your model handles as a valid state. You can define a default behavior in your agent logic for these cases.
It is. Since you define the models, you can map the server's output directly to your schema. This ensures high-fidelity data handling for every mod lookup.
Your interactions are strictly transient. The server only sees the API queries you send, and your Pydantic models ensure no sensitive data is leaked or stored.

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